Psychology
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Faculty of Engineering

Course Code

EE 483

Course Title in English

Embedded System Applications

Course Title in Turkish

Gömülü Sistem Uygulamaları

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Seçiniz

Semester

Spring

Contact Hours per Week

Lecture: 2

Recitation:

Lab: 2

Other:

Estimated Student Workload

150 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

EE 212 - Electrical and Electronic Circuits | EE 308 - EE Engineering Design Studio

Expected Prior Knowledge

Prior knowledge of electronic circuits, circuit components and OPAMPS is expected.

Co-requisites

None

Registration Restrictions

Only Undergraduate Students

Overall Educational Objective

To gain hands-on experience on embedded system programming

Course Description

Using a microprocessor and C programming, students will learn and practice serial connection protocols (UART, I2C, SPI) that are widely used in recent (digital) sensors. Datasheet search and interpretation is also to be learned via this course.

Course Description in Turkish

Bu ders ile öğrencilere bir mikroişlemci ve C programlama vasıtası ile günümüz sayısal algılayıcılarında kullanılan seri haberleşme protokolleri (UART, I2C, SPI) anlatılmaktadır. Ayrıca veri föyü inceleme ve yorumlama da ders hedefleri arasındadır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) determine number and types of I/O pins in a practical embedded system application
2) design and program a basic embedded system interface
3) discriminate communication protocols RS232, I2C and SPI in terms of number of wires required, waveforms and data rate
4) develop proper codes for an embedded system that can communicate with PC
5) inspect and understand data and control registers of a sensor using its (technical) datasheet.

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.	N
2)	Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.	N
3)	Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.	H	Exam,HW,Participation
4)	Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.	N
5)	Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.	N
6)	Internalization and dissemination of professional ethical standards.	N
7)	Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.	N
8)	Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).	N
9)	Recognition, understanding, and respect for the complexity of sociocultural and international diversity.	S	Participation
10)	Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.	S	HW,Participation
11)	Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.	N
12)	Ability to acquire knowledge independently, and to plan one’s own learning.	S	Exam,HW
13)	Demonstration of advanced competence in the clarity and composition of written work and presentations.	H	Exam,HW

Prepared by and Date	GÜRAY GÜRKAN ,
Course Coordinator	TUBA AYHAN
Semester	Spring
Name of Instructor	Asst. Prof. Dr. GÜRAY GÜRKAN

Course Contents

Week	Subject
1)	Introduction to microprocessors; review of signal types, oscilloscope and function generator usage.
2)	Introduction to Arduino; history, board layout and “Blink” code examinations.
3)	Function declarations, input arguments and variable type selection
4)	Digital input and output usage.
5)	Using analog inputs. The ADC module.
6)	Using PWM module: the analogWrite() function and Timer details.
7)	Using UART module. RS232 Waveform verification via oscilloscope
8)	LCD Menu design using LCD library.
9)	Using I2C module. I2C protocol details. Wire library and waveform verification
10)	Using a digital magnetometer: Datasheet inspection and coding
11)	Using a digital accelerometer: Datasheet inspection and coding.
12)	Using SPI module. SPI protocol details. SPI library and waveform verification.
13)	Using a high resolution ADC module with SPI interface. Using emulated EEPROM.
14)	Stepper motor review, driving a stepper motor with digital control.
15)	Final Exam/Project/Presentation Period
16)	Final Exam/Project/Presentation Period

Required/Recommended Readings

Teaching Methods

Contact hours using “Flipped Classroom” as an active learning technique

Homework and Projects

Weekly coding homework (they will not be collected and not graded). 1 Coding/Hardware development Project

Laboratory Work

Weekly laboratories on coding and analyzing outputs and measurements via Oscilloscope and Function Generator usage.

Computer Use

Students will intensely use a computer for programming purpose.

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Quiz(zes)	2	% 20
Project	1	% 30
Midterm(s)	2	% 50
TOTAL		% 100

Course Administration

Instructor’s office: office hours: email address: TBA Policies: ● Missing project: Fail. ● Improper behavior, academic dishonesty and plagiarism: YÖK Disciplinary Regulation

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	2	4		84
Project	1	20	2	2	24
Quiz(zes)	2	2	1	1	8
Midterm(s)	2	15	2		34
Total Workload					150
Total Workload/25					6.0
ECTS					6